Amazon Technologies, Inc.

Kadirvelu Rathnavelu

Jonathan Edward Suchland

Jason Garrett Volpe

Vivek A Shah

Samir Raj Hegde

John James Terrill

Christopher Fredrick Vitas

Nicolas Webb

Georgie Mathews

Simon Poile

Calvin Yue-Ren Kuo

Feng Wang

Yen-Lin Chen

Neal Flaherty

Christopher Frederick Vitas

Victor Gails

Shirley Zheng

Zach Barbitta

Victor Galis

Samir Raj Hege

Systems, methods, and computer-readable media are disclosed for selection of a preferred image from multiple captured images. An image corresponding to a photograph time t=0 may be retrieved from a circular buffer and stored as a preferred image. Alterative images captures before and after the t=0 image may be retrieves and stored in an alternative image location. The t=0 image and preferred images may be presented to a user in a user interface. The user may select a preferred image for the photograph from among the t=0 image and the alternative images.

Selection of a preferred image from multiple captured images

Systems, methods, and computer-readable media are disclosed for selection of a preferred image from multiple captured images. An image corresponding to a photograph time t=0 may be retrieved from a circular buffer and stored as a preferred image. Alternative images captures before and after the t=0 image may be retrieves and stored in an alternative image location. The t=0 image and preferred images may be presented to a user in a user interface. The user may select a preferred image for the photograph from among the t=0 image and the alternative images.

Systems and methods are described for implementing a framework for testing on-demand code execution that is configured to be executed on coordinated devices. The testing framework allows the execution of tasks in a network based on-demand system. The resulting generation of an I/O file for accessing local resources can be intercepted and either processed via a handler process or transmitted to the local resource.

Testing of executable code for local device coordinator

Approaches provide for analyzing document data to provide contextual overlays. For example, an application executing on a computing device (or at least in communication with the computing device) can analyze document data to determine a set of keywords based on features extracted from the document data. The keywords can be used to query an index of websites based on a relevance function in order to determine websites that are most relevant to the text identified from the document, at least some of which can be analyzed using a search engine to identify contextual information in the websites associated with the document. Thereafter, the contextual information can be provided for display with the document.

Contextual overlay for documents

Systems and methods are described for conducting data processing against a target data set in an on-demand code execution system. The on-demand code execution system can enable execution of user-provided executable code. The user-provided executable code is embedded in communications sent to a user. Each execution of the data processing code can process at least a portion of a data to determine content to be rendered in the communications. The resulting content is rendered and provided to the user.

Dynamic content generation with on-demand code execution

Technologies are described herein for capturing a sequence of images and for capturing sensor data at or around the time the images are captured. The sensor data is associated with the sequence of images. During a playback time of the images, additional sensor data is captured. The playback of the images is based at least, in part, on a correlation between movement indicated by the sensor data that was captured at the capture time of the images and movement indicated by the additional sensor data that is captured at the playback time.

Adjusting playback of images using sensor data

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Seattle, WA, United States of America

Kadirvelu Rathnavelu